Cognition-based Smart Computing Foundations, Frameworks, and Applications

1. AI-Driven Optimization of Multi-Objective Task Scheduling in Fog-Assisted IoT Environments

Patinjare Veetil Pravija Raj, Pranav M. Pawar, and Ahmed M. Khedr

2. Transforming Healthcare through Cognitive Computing and Smart Computing: A Comprehensive Overview

Rajiv Iyer, Vedprakash Maralapalle, and Leenata Parab

3. Cognitive Cybersecurity: Symbolic Deep Learning for Enhanced Decision Support

Anirudh D. Maurya, Ankan Mondal, and Kahkashan Siddavatam

4. Can Neural Networks Dream? Applying Crick and Mitchison's Theory of Reorganization to Multi-Layer Perceptrons for Reduction of Catastrophic Interference

Ashwini Dalvi, Aatmaj Kaustubh Mhatre, and Radha Shirbhate

5. Amalgamation of Threat Intelligence for Cognitive Ransomware Detection in 5G Networks

Om Bidve, Radhika Gaikwad, Pragati Nehete, and Rachana Patil

6. Generative AI Algorithms and Techniques for Cognitive Computation: A Comprehensive Study

Smita Bharne

7. Enhancing Object Recognition with YOLO and OCR Fusion: Towards Intelligent Cognitive Tasks

Hammad Ansari, Pratham Joshi, Nishant Wanjari, and Sumedha Bhagwat

8. Cognitive Robots for Industry 5.0: Fundamentals, Challenges and Research Trends

Mansi Subhedar and Vinit Kotak

9. Industry 5.0 Unveiled, Precision Agriculture Empowered: Integrating Recommendation and Prediction Systems for Transparent Farming Transactions

Kaustubh Rathod, Devesh Rathi, and Sankalp Naranje

10. Cognitive Computing in Banking and Finance

Amar Buchade, Parikshit Mahalle, and Rajani Sajjan

11. Investigating the Role of Large Language Models in Cognitive Computing

Ujwala Bharambe, Sangita S. Chaudhari, Manimala Mahato, Kaushal Patil, and Rekha Ramesh

12. Electroencephalogram Feature Extraction Methods for Stress Analysis

Radha Shirbhate and Pradip M. Jawandhiya

Biography

Sangita Chaudhari is currently working as a professor and Head in the Department of Computer Science and Engineering at Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India. She has published papers in International/National Journals/Conferences and book chapters in the domain of information security, image processing, and pattern recognition. Her research interests include image processing, information security, geographical information systems, and remote sensing.

Pallavi Vijay Chavan is presentlyworking as Professor in Department of Computer Engineering, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India. She has 22 years of academic experience in data science and network
security In her academic journey, she published research work in the data science and security domain. She has published research papers in journals and conferences of national and international repute.

Parikshit Mahalle is a senior member of IEEE and a Professor, Dean of Research and Development, and Head, of the Department of Artificial Intelligence and Data Science, at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark, and continued as a postdoc researcher at CMI, Copenhagen, Denmark. He has 12 patents, published more than two hundred research papers in journals and conferences of national and international repute. His research interests are machine learning, data science, algorithms, the Internet of Things, identity management, and security.

Pranav Mothabhau Pawar is currently working as an assistant professor, in the Department of Computer Science, at Birla Institute of Technology and Science, Dubai. He developed a deep Q-learning-based asymptotically optimal solution to the spectrum collaboration problem. He published more than 40 papers in national and international journals and conferences.